Search Results for author: Dylan Sandfelder

Found 2 papers, 0 papers with code

Towards a Taxonomy of Graph Learning Datasets

no code implementations27 Oct 2021 Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf, Ladislav Rampášek

Graph neural networks (GNNs) have attracted much attention due to their ability to leverage the intrinsic geometries of the underlying data.

Graph Learning

Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks

no code implementations22 Jul 2021 Dylan Sandfelder, Priyesh Vijayan, William L. Hamilton

Graph neural networks (GNNs) have achieved remarkable success as a framework for deep learning on graph-structured data.

Node Classification

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